Unveiling feeder topologies from data is of paramount importance to advance situational
awareness and proper utilization of smart resources in power distribution grids. This tutorial …

The energy sector is enduring a momentous transformation with new technological
advancements and increasing demand leading to innovative pathways. Artificial intelligence …

The integration of advanced measuring technologies in distribution systems allows
distribution system operators to have better observability of dynamic and transient events. In …

This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …

This study investigates the transformation of energy models to align with machine learning
requirements as a promising tool for optimizing the operation of combined cycle power …

Incomplete and inaccurate information of network topology and line parameters affects state
monitoring, analysis, and control of active distribution networks. To solve this issue, this …

This paper studies the problem of locating harmonic sources and estimating the distribution
of harmonic voltages in unbalanced three-phase power distribution systems. We develop an …

Many distribution system operations (eg, state estimation, control, fault
detection/localization) rely on the assumption that the underlying topology is accurately …

This paper proposes a data-driven and fully distributed volt/var control (VVC) method for
active distribution networks (ADNs) with multiple virtual power plants (VPPs), which is model …

This article proposes an adaptive control algorithm for plug-in electric vehicle charging
without straining the power system. This control algorithm is decentralized and merely relies …